Barbara Platform v3.1.0 marks a major leap in edge computing by introducing High Availability (HA), bringing cloud-grade resilience, fault tolerance, and uninterrupted uptime to edge environments. Leveraging Docker Swarm, this release enables users to create robust clusters, maintain persistent data, and ensure seamless service continuity, even during node failures or updates. Know more.

At InnoVerse 2025 in Hyderabad, Barbara joined Tech Mahindra and global industry leaders to spotlight the rise of Edge AI as a megatrend in industrial transformation. As enterprises race to operationalize AI at scale, Barbara is helping lead the charge, building a collaborative Edge AI Ecosystem that will accelerate the adoption of AI in Industry.

As industrial operations grow more distributed and data-driven, cybersecurity must keep up. The old model stacking specialized hardware in datacenters, is fast becoming obsolete. In this article, we explore virtualized cybersecurity as a strategic game-changer, especially for sectors like oil & gas, utilities, and manufacturing.

We’re excited to announce a highly requested feature: the unified log viewer. Quietly introduced in version 3.0.1, this powerful addition brings clarity, flexibility, and control to your real-time application monitoring.

As industries seek faster insights and real-time responsiveness, Edge MLOps (Machine Learning Operations at the Edge) is emerging as a game-changer. Unlike traditional MLOps that rely on centralized cloud infrastructure, Edge MLOps enables machine learning models to be deployed, monitored, and retrained close to the data source.

This article takes you inside a real-world deployment where MLOps at the edge powers hourly solar radiation forecasts in a photovoltaic plant. By combining AI with real-time data flows, and cloud integration, the solution delivers higher prediction accuracy, faster response times, and optimized plant performance. Discover how Edge MLOps is transforming solar forecasting.

The project showcases the benefits of substation virtualization, which enables real-time monitoring, AI-driven fault detection, improved security planning, and cost-effective upgrades. At the core is Barbara’s Edge Node, capable of processing 4,000 signal samples per second and capturing event-triggered data using GOOSE connectors, mirroring the functionality of a physical oscilloscope, remotely and securely. Learn more in the following article.

Barbara, the leading Edge AI Orchestration Platform, has been named by STL Partners as one of the Top 50 Edge Computing Companies to Watch in 2025, marking its third consecutive year and reinforcing its position as a global leader in Edge Computing and Edge AI.

Discover how GS-Inima seamlessly connects its OT systems with its central IT platform (SAP) by deploying applications at the Edge while centrally managing, updating, and securing all devices and apps from a single interface.